Shromona Ghosh

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it
• Generative Models — 6 citations into it

Whom Shromona Ghosh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Marco Marchesi
2. Individualized Treat
3. I. Van Mechelen
4. Alex Krizhevsky
5. Abhinav Shrivastava
6. Ross B. Girshick
7. Geoffrey E. Hinton
8. Sebastien C. Wong

Papers from Shromona Ghosh's perspective

Ordered by how strongly the researchers Shromona Ghosh trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. GENERATIVE ADVERSARIAL NETS
5. Et al
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Counterexample-Guided Data Augmentation (2018) — 68 citations
• Scenic: a language for scenario specification and scene generation (2018) — 325 citations